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National Aeronautics and Space Administration
www.nasa.gov 1
Vehicle Integrated Propulsion
Research (VIPR) Gas Path Diagnostics
and Volcanic Ash Ingestion Test
Results
Donald L. Simon & Jeff Csank
NASA Glenn Research Center
Aidan Rinehart
Vantage Partners, LLC
5th NASA GRC Propulsion Control and Diagnostics (PCD) Workshop
September 16 - 17, 2015
Cleveland, Ohio
National Aeronautics and Space Administration
www.nasa.gov
Outline
• Vehicle Integrated Propulsion Research (VIPR) Overview
• VIPR3 Gas Path Diagnostic (GPD) testing
– Model-Based Gas Path Diagnostic Architecture
– Bleed fault diagnostic results
• VIPR3 Volcanic Ash Environment (VAE) testing
– VAE test overview
• Summary
National Aeronautics and Space Administration
www.nasa.gov
Vehicle Integrated Propulsion (VIPR)
Engine Test Program
3
• VIPR is a series of ground-based on-wing
engine demonstrations to mature aircraft
engine health management technologies
• Test vehicle is a U.S. Air Force C-17 aircraft
equipped with Pratt & Whitney F117 engines
• VIPR partners include NASA, U.S. Air Force
and other external organizations
• VIPR test schedule– VIPR1 (2011)
– VIPR2 (2013)
– VIPR3 (2015)
• VIPR3 testing covered in this presentation:– Gas Path Diagnostics (GPD): A series of nominal
and faulted engine test cases
– Volcanic Ash Environment (VAE): Low
concentration engine ash ingestion testing
Pratt & Whitney F117 Turbofan Engine
Boeing C-17 Globemaster III
National Aeronautics and Space Administration
www.nasa.gov
VIPR3 Gas Path Diagnostics
Test Architecture
4
Data acquired from
aircraft bill-of-material
sensors and advanced
EHM sensors
NASA Data
Acquisition Pallet
Bleed faults
manually inserted
Real-time
laptop
displays
EHM sensor data
acquisition and signal
processing
On engine
In aircraft cargo bay
Bleed valve
control boxes
used to manually
insert station 2.5
and 14th stage
bleed valve faults
National Aeronautics and Space Administration
www.nasa.gov
Model-Based Gas Path Diagnostic Architecture
5
Actuator Commands and
Sensor Measurements
Fault diagnostics
Real-time adaptive
performance model
(RTAPM)Aircraft Engine
Periodic model tuning
parameter updates
+
-
u
y
y
Estimated
performance
parameters
y
N1y~Performance
baseline model (PBM)
• Real-time adaptive performance model (RTAPM): Self-tuning Kalman filter design
which applies NASA-developed optimal tuner selection methodology. Provides
estimates of unmeasured engine performance parameters.
• Performance baseline model (PBM): Serves as a baseline of engine performance.
• Fault diagnostics: Analyzes residuals between sensed engine outputs and PBM
estimated outputs for fault detection and isolation purposes.
National Aeronautics and Space Administration
www.nasa.gov
VIPR3 GPD Bleed Fault Testing
6
• VIPR3 GPD Bleed Fault Scenarios
o EHM Baseline Engine Run
o 2.5 Failed full-open baseline
o 2.5 Failed full-open at steady-state
o 2.5 Failed full-open during ramp accel
o 2.5 Failed full-open during snap accel
o 14th Failed full-open baseline
o 14th Failed full-open at steady-state
o 14th Failed full-open during ramp accel
o 14th Failed full-open during snap accel
Transient Run
Time
PowerSetting
Valve failed open Return to
EEC Control
Valve failed open
Return to EEC
Control
National Aeronautics and Space Administration
www.nasa.gov
BLD14 Failed at Steady-State
yi
WS
SR
0 100 200 300 400 500 600 7000: No fault1: FAN 2: LPC 3: HPC 4: HPT 5: LPT 6: B25 7: VSV 8: B14
Dia
gnosed F
ault
Time (sec)
Engine measurement
Re-trimmed PBM
WSSR
Anomaly detection threshold
National Aeronautics and Space Administration
www.nasa.gov
BLD14 Failed During Snap Accel
yi
WS
SR
0 500 1000 1500 2000 25000: No fault1: FAN 2: LPC 3: HPC 4: HPT 5: LPT 6: B25 7: VSV 8: B14
Dia
gnosed F
ault
Time (sec)
Engine measurement
Re-trimmed PBM
WSSR
Anomaly detection threshold
National Aeronautics and Space Administration
www.nasa.gov
BLD25 Failed at Steady-State
yi
WS
SR
0 100 200 300 400 500 600 700 8000: No fault1: FAN 2: LPC 3: HPC 4: HPT 5: LPT 6: B25 7: VSV 8: B14
Dia
gnosed F
ault
Time (sec)
Engine measurement
Re-trimmed PBM
WSSR
Anomaly detection threshold
National Aeronautics and Space Administration
www.nasa.gov
BLD25 Failed During Snap Accel
yi
WS
SR
0 200 400 600 800 1000 1200 1400 16000: No fault1: FAN 2: LPC 3: HPC 4: HPT 5: LPT 6: B25 7: VSV 8: B14
Dia
gnosed F
ault
Time (sec)
Engine measurement
Re-trimmed PBM
WSSR
Anomaly detection threshold
National Aeronautics and Space Administration
www.nasa.gov
VIPR3 Volcanic Ash Environment (VAE) Testing
11
• Background:
– Airborne volcanic ash poses a significant risk to aircraft gas turbine
engines and can interrupt air travel resulting in revenue loss
– Limited understanding of the effect of low ash concentration level
encounters (previous volcanic ash engine testing conducted by Mike
Dunn (Calspan) evaluated much higher ash concentrations levels)
• VIPR3 VAE Goals:
– Introduce volcanic ash into the engine inlet to emulate engine ash
ingestion due to ash cloud encounters in flight
– Focus on low concentration levels (near the visually discernable
threshold)
– Characterize engine performance degradation due to ash ingestion
– Evaluate the capability of advanced engine health management
technologies for diagnosing volcanic ash induced engine degradation
• VIPR3 VAE Approach:
– Utilized Mazama ash in the 5 to 60 micron particle size range
– Exposed the engine to ash mass ingestion rates equivalent to ash
cloud encounters in the 1 to 10 mg/m3 concentration range
Spray nozzle configuration
for introduction of volcanic
ash into engine
National Aeronautics and Space Administration
www.nasa.gov
VIPR3 Volcanic Ash Environment (VAE)
Testing Overview
12
Video overview of VIPR3 Volcanic Ash
Environment (VAE) Test
National Aeronautics and Space Administration
www.nasa.gov
Summary
13
• Gas Path Diagnostic (GPD) Testing
– Model-Based Gas Path Diagnostic Architecture applied for
processing streaming (continuous) aircraft engine measurement
data and diagnosing bleed faults
• Volcanic Ash Environment (VAE) Testing
– Successfully introduced volcanic ash into engine
• Additional data analysis ongoing
National Aeronautics and Space Administration
www.nasa.gov
References
14
• Model-Based Diagnostic Architecture– Simon, D. L., (2010), “An Integrated Architecture for Onboard Aircraft Engine
Performance Trend Monitoring and Gas Path Fault Diagnostics,” Proceedings of The
2010 JANNAF Joint Subcommittee Meeting, Colorado Springs, CO, May 3-7.
– Armstrong, J.B., Simon, D.L., (2011), “Implementation of an Integrated On-Board Aircraft
Engine Diagnostic Architecture,” AIAA-2011-5859, 47th AIAA Joint Propulsion
Conference & Exhibit, San Diego, CA, July 31-August 3.
– Simon, D.L., (2012), “An Integrated Approach for Aircraft Engine Performance Estimation
and Fault Diagnostics,” ASME-GT2012-69905, 2012 ASME Turbo Expo, Copenhagen,
Denmark, June 11-15.
• Vehicle Integrated Propulsion Research (VIPR) Testing– Gary W. Hunter, John D. Lekki, Donald L Simon. “Development and Testing of Propulsion
Health Management,” Proceedings of the Workshop on Integrated Vehicle Health
Management and Aviation Safety; Bangalore, India; January 2012.
– Lekki, John D., Simon, Donald L., Hunter, Gary W., Woike, Mark, Tokars, Roger P.,
“Vehicle Integrated Propulsion Research for the Study of Health Management
Capabilities,” Turbine Engine Technology Symposium, September 2012, Dayton, OH.